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Magentic UI
Overview :
Magentic-UI is a research prototype of a multi-agent system that allows users to browse the web and automate tasks through a transparent and controllable interface. Its main advantage lies in enhancing human-machine interaction efficiency while providing users with control over the automation process. This product is suitable for users who need to perform complex tasks on the network and supports various operations and custom settings.
Target Users :
Magentic-UI is suitable for users who need to perform complex tasks on the network, such as data analysts, programmers, or any professionals looking to improve their work efficiency. Its flexibility and transparency allow users to maintain control during the automation process, thereby improving work efficiency.
Use Cases
Automatically fill out forms on web pages to reduce repetitive work.
Deeply navigate websites not indexed by search engines to quickly retrieve required information.
Generate charts based on online data for data visualization analysis.
Features
Collaborative Planning: Create and approve step-by-step plans through chat and plan editors.
Collaborative Tasks: Users can directly intervene and guide task execution via the browser or chat.
Action Protection: Sensitive operations require explicit approval from the user before execution.
Plan Learning and Retrieval: Can learn from previous actions to optimize task automation.
Parallel Task Execution: Supports running multiple tasks simultaneously, with users able to view task progress at any time.
How to Use
Ensure that Docker is installed and running.
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Create and activate a virtual environment in the terminal: python3 -m venv .venv && source .venv/bin/activate.
Install Magentic-UI: pip install magentic-ui.
Set the OpenAI API key: export OPENAI_API_KEY=<YOUR API KEY>.
Run Magentic-UI: magentic ui --port 8081, and access it in the browser at http://localhost:8081.
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